Triple

T8780743
Position Surface form Disambiguated ID Type / Status
Subject Bayside station E208717 entity
Predicate servesNeighborhood P82 FINISHED
Object Bayside E278744 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bayside | Statement: [Bayside station, servesNeighborhood, Bayside]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bayside
Context triple: [Bayside station, servesNeighborhood, Bayside]
  • A. Bayside chosen
    Bayside is a primarily residential neighborhood in the northeastern part of Queens, New York City, known for its suburban feel, good schools, and waterfront parks.
  • B. East Bayside
    East Bayside is a revitalized, historically industrial waterfront neighborhood in Portland, Maine, known for its breweries, arts scene, and mixed-use development.
  • C. Woodhaven
    Woodhaven is a residential neighborhood in the borough of Queens, New York City, known for its diverse community and proximity to major transit lines and Forest Park.
  • D. Bay Shore
    Bay Shore is a hamlet on the South Shore of Long Island, New York, known as a residential and commercial community with ferry access to Fire Island.
  • E. Dutch Kills
    Dutch Kills is a neighborhood in the Long Island City area of Queens, New York City, known for its mix of industrial spaces, residential buildings, and proximity to major transit routes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f55b7b08190ab3e18cd634a144b completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f33ca1081908d65d14c83199c5a completed April 3, 2026, 7:41 a.m.
Created at: March 30, 2026, 6:42 p.m.